Dynamic and Online Task Scheduling Algorithm Based on Virtual Compute Group in Many-Core Architecture

Abstract

Efficient task scheduling for a series of applications on Mesh based many-core processors is very challenging, especially when resource occupation and release are required in some running task phases. In this paper, we present a dynamic and online heuristic mapping for efficient task scheduling based on Virtual Computing Group (VCG), and an algorithm managing free resources based on rectangle topology is proposed as well. This method quickly finds proper rectangle resources for a task, partitions processing elements (PEs) into a Virtual Computing Group by constructing a subnet, and maps communicating subtasks on adjacent PEs according to data dependency and communication dependency. Compared with the existing algorithms, our mapping algorithm can reduce the total execution time and enhance the system throughput by 10% in simulations.